# Copyright 2022 Garena Online Private Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import cv2
import imageio
import numpy as np


class VideoRecorder:
    def __init__(self, root_dir, render_size=256, fps=20):
        if root_dir is not None:
            self.save_dir = root_dir / 'eval_video'
            self.save_dir.mkdir(exist_ok=True)
        else:
            self.save_dir = None

        self.render_size = render_size
        self.fps = fps
        self.frames = []

    def init(self, env, enabled=True):
        self.frames = []
        self.enabled = self.save_dir is not None and enabled
        self.record(env)

    def record(self, env):
        if self.enabled:
            if hasattr(env, 'physics'):

                frame = env.physics.render(height=self.render_size,
                                           width=self.render_size,
                                           camera_id=0)
            else:
                frame = env.render()
            self.frames.append(frame)

    def save(self, file_name):
        if self.enabled:
            path = self.save_dir / file_name
            imageio.mimsave(str(path), self.frames, fps=self.fps)


class TrainVideoRecorder:
    def __init__(self, root_dir, render_size=256, fps=20):
        if root_dir is not None:
            self.save_dir = root_dir / 'train_video'
            self.save_dir.mkdir(exist_ok=True)
        else:
            self.save_dir = None

        self.render_size = render_size
        self.fps = fps
        self.frames = []

    def init(self, obs, enabled=True):
        self.frames = []
        self.enabled = self.save_dir is not None and enabled
        self.record(obs)

    def record(self, obs):
        if self.enabled:
            frame = cv2.resize(obs[-3:].transpose(1, 2, 0),
                               dsize=(self.render_size, self.render_size),
                               interpolation=cv2.INTER_CUBIC)
            self.frames.append(frame)

    def save(self, file_name):
        if self.enabled:
            path = self.save_dir / file_name
            imageio.mimsave(str(path), self.frames, fps=self.fps)
